Search Results - "Celebi, M.E."

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  1. 1

    Anisotropic Mean Shift Based Fuzzy C-Means Segmentation of Dermoscopy Images by Huiyu Zhou, Schaefer, G., Sadka, A.H., Celebi, M.E.

    “…Image segmentation is an important task in analysing dermoscopy images as the extraction of the borders of skin lesions provides important cues for accurate…”
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    Journal Article
  2. 2

    Analysis of input-output clustering for determining centers of RBFN by Uykan, Z., Guzelis, C., Celebi, M.E., Koivo, H.N.

    Published in IEEE transactions on neural networks (01-07-2000)
    “…The key point in design of radial basis function networks is to specify the number and the locations of the centers. Several heuristic hybrid learning methods,…”
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    Journal Article
  3. 3

    Full rate full diversity space-time block code selection for more than two transmit antennas by Celebi, M.E., Sahin, S., Aygolu, U.

    “…In this paper, we propose a full rate space-time block code selection technique, which achieves full diversity when more than two transmit antennas are used…”
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    Journal Article
  4. 4

    Pattern classification of dermoscopy images: A perceptually uniform model by Abbas, Qaisar, Celebi, M.E., Serrano, Carmen, Fondón García, Irene, Ma, Guangzhi

    Published in Pattern recognition (01-01-2013)
    “…Pattern classification of dermoscopy images is a challenging task of differentiating between benign melanocytic lesions and melanomas. In this paper, a novel…”
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    Journal Article
  5. 5

    Hair removal methods: A comparative study for dermoscopy images by Abbas, Qaisar, Celebi, M.E., García, Irene Fondón

    Published in Biomedical signal processing and control (01-10-2011)
    “…Removal and restoration of hair and hair-like regions within skin lesion images is needed so features within lesions can be more effectively analyzed for…”
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    Journal Article
  6. 6

    Effective initialization of k-means for color quantization by Celebi, M.E.

    “…Color quantization is an important operation with many applications in graphics and image processing. Most quantization methods are essentially based on data…”
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    Conference Proceeding
  7. 7

    Non-orthogonal multiple access protocol for overlay cognitive radio networks using spatial modulation and antenna selection by Emam, Said, Çelebi, M.E.

    “…In this paper we propose a novel spectrum sharing protocol for overlay cognitive radio networks using non-orthogonal multiple access (NOMA), spatial modulation…”
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    Journal Article
  8. 8

    Contrast enhancement in dermoscopy images by maximizing a histogram bimodality measure by Celebi, M.E., Iyatomi, H., Schaefer, G.

    “…Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of…”
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    Conference Proceeding
  9. 9

    Skin lesion segmentation using co-operative neural network edge detection and colour normalisation by Schaefer, G., Rajab, M.I., Celebi, M.E., Iyatomi, H.

    “…Lesion segmentation is an important step in analysing dermoscopic skin lesion images. In this paper we achieve accurate lesion segmentation using a…”
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    Conference Proceeding
  10. 10

    Skin lesion extraction in dermoscopic images based on colour enhancement and iterative segmentation by Schaefer, G., Rajab, M.I., Celebi, M.E., Iyatomi, H.

    “…Accurate extraction of lesion borders is a crucial step in analysing dermoscopic skin lesion images. In this paper we present an effective approach to…”
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    Conference Proceeding
  11. 11

    Bayesian image segmentation with mean shift by Huiyu Zhou, Schaefer, G., Celebi, M.E., Minrui Fei

    “…Image segmentation plays a key role in many image content analysis applications, and a lot of effort has aimed at improving the performance of established…”
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    Conference Proceeding
  12. 12

    Perioperative cardiac risk prediction by Iyatomi, H., Kasamatsu, T., Hashimoto, J., Celebi, M.E., Schaefer, G., Ogawa, K.

    “…In this study, which is based on data collected from 1351 referred patients, we used myocardial perfusion single-photon emission computed tomography (SPECT)…”
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    Conference Proceeding
  13. 13

    Unsupervised Learning of Manifolds via Linear Approximations by Kingravi, H.A., Celebi, M.E., Rajauria, P.P.

    “…In this paper, we examine the application of manifold learning to the clustering problem. The method used is Locality Preserving Projections (LPP), which is…”
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    Conference Proceeding
  14. 14
  15. 15

    A comparative study of three moment-based shape descriptors by Celebi, M.E., Aslandogan, Y.A.

    “…Shape is one of the fundamental visual features in the content-based image retrieval (CBIR) paradigm. Numerous shape descriptors have been proposed in the…”
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    Conference Proceeding
  16. 16

    A general procedure for nonlinear system identification using higher order statistics by Celebi, M.E.

    “…A general formula is given for the conditional mean in terms of higher order statistics. Using this formula, a general scheme for nonlinear system…”
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    Conference Proceeding
  17. 17

    A fast recursive two-dimensional estimation algorithm by Celebi, M.E., Kurz, L.

    “…A two-dimensional Kalman filtering scheme based on the Roesser local state-space model is given. This algorithm does not provide the conditional mean with…”
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    Conference Proceeding
  18. 18

    Diversity Enhancement with Cooperative Balanced Space-Time Block Coding by Eksim, A., Celebi, M.E.

    “…In this paper, a balanced space-time block coding method for cooperative relay networks is proposed which guarantees full diversity for any number of mobile…”
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    Conference Proceeding
  19. 19

    Unsupervised border detection of skin lesion images by Celebi, M.E., Aslandogan, Y.A., Bergstresser, P.R.

    “…As a result of the advances in skin imaging technology and the development of suitable image processing/computer vision algorithms, during the last decade,…”
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    Conference Proceeding
  20. 20

    Efficient image restoration using cellular neural networks by Celebi, M.E., Guzelis, C.

    “…A 3D cellular neural network (CNN) is applied for restoration of degraded images. It is known that regularized or maximum a posteriori estimation based image…”
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    Conference Proceeding